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Sadly not, it's still an unsolved problem in the general case. Yes, it works tolerably well for some images, but converting RGB to RGBD is anything but easy. That's why the 3D-ification of cinema movies still requires thousands of people and millions in budget.



True, we get results good enough for that usage but not for general applications.

But it is a problem well studied in machine learning and for which you can get off-the-shelf networks to use in conjunction with this paper.




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